With the advent of multi-core processors, implementing parallel programming methods in application development is absolutely necessary in order to achieve good performance. Soon, 8-core and possibly 16-core processors will be available, even for desktop machines. To support application developers in the various tasks involved in this process, several different tools need to be at his or her disposal. This workshop will give the users an overview of the existing tools in the area of integrated development environments for clusters, various parallel debuggers, and new-style performance analysis tools, as well as an update on the state of the art of long-term research tools, which have advanced to an industrial level. The proceedings of the 2nd Parallel Tools Workshop guide participants by providing a technical overview to help them decide upon which tool suits the requirements for the development task at hand. Additionally, through the hands-on sessions, the workshop will enable the user to immediately deploy the tools.
Author(s): Terry Dontje, Don Kerr, Daniel Lacher, Pak Lui, Ethan Mallove, Karen Norteman (auth.), Michael Resch, Rainer Keller, Valentin Himmler, Bettina Krammer, Alexander Schulz (eds.)
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2008
Language: English
Commentary: 52920
Pages: 202
Tags: Software Engineering/Programming and Operating Systems;Computer System Implementation;Systems and Information Theory in Engineering
Front Matter....Pages i-xi
Front Matter....Pages 1-1
Sun HPC ClusterTools™ 7+: A Binary Distribution of Open MPI....Pages 3-18
An Integrated Environment For the Development of Parallel Applications....Pages 19-34
Debugging MPI Programs on the Grid using g-Eclipse....Pages 35-45
Front Matter....Pages 47-47
Enhanced Memory debugging of MPI-parallel Applications in Open MPI....Pages 49-60
MPI Correctness Checking with Marmot....Pages 61-78
Memory Debugging in Parallel and Distributed Applications....Pages 79-90
Front Matter....Pages 91-91
Sequential Performance Analysis with Callgrind and KCachegrind....Pages 93-113
Improving Cache Utilization Using Acumem VPE....Pages 115-135
Front Matter....Pages 137-137
The Vampir Performance Analysis Tool-Set....Pages 139-155
Usage of the SCALASCA toolset for scalable performance analysis of large-scale parallel applications....Pages 157-167
Evolution of a Parallel Performance System....Pages 169-190
Cray Performance Analysis Tools....Pages 191-199
Back Matter....Pages 201-202
